Mapping the green herbage ratio of grasslands using both aerial and satellite-derived spectral reflectance

Agriculture, Ecosystems and Environment

Volumn 115, Issue 1-4, 2006, Pages 141-149

  Loris, Vescovo ^a   Damiano, Gianelle ^a  

^a CENTRO DI ECOLOGIA ALPINA   (Italy)

Author keywords

Grassland; Green herbage ratio; Green NDVI; Remote sensing; Scaling; Vegetation indices

Indexed keywords

GRASSLAND; MAPPING; PHENOLOGY; REMOTE SENSING; SENSOR;

EID: 33646516213     PISSN: 01678809     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agee.2005.12.018     Document Type: Article

References (39)

1. Arora V. Modelling vegetation as a dynamic component in soil-vegetation-atmosphere transfer schemes and hydrological models. Rev. Geophys. 40 (2002) 2: 3-1:26
2. 2. J. Clim. 122 (1999) 309-324
3. Chen J. Evaluation of vegetation indices and modified simple ratio for boreal applications. Can. J. Remote Sens. 22 (1996) 229-242
4. Chen J.M. Spatial scaling of a remotely sensed surface parameter by contexture. Remote Sens. Environ. 69 (1999) 30-42
5. Chuine I., Cambon G., and Comtois P. Scaling phenology from the local to the regional level: advances from species-specific phenological model. Glob. Change Biol. 68 (2000) 943-952
6. Cramer W., Kicklighter D.W., Bondeau A., Moore III B., Churkina G., Nemry B., Ruimy A., Schloss A.L., and and the participants of the Postdam NPP model intercomparison. Comparing global models of terrestrial net primary productivity NPP: overview and key results. Glob. Change Biol. 51 (1999) 1-15
7. Dunne J.A., Harte J., and Taylor K.J. Subalpine meadow flowering phenology responses to climate change. Ecol. Monogr. 731 (2003) 69-86
8. Garcia F., Carrère P.J., Soussana F., and Baumont R. How do severity and frequency of grazing affect sward characteristics and the choices of sheep during the grazing season?. Grass Forage Sci. 582 (2003) 138-150
9. Gianelle, D., Vescovo, L., in press. The determination of GR in grasslands using spectral reflectance. Methods and ground measurements. Int. J. Remote Sens.
10. Gitelson A.A., Kaufman Y.J., and Merzlyak M.N. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58 (1996) 289-298
11. Gitelson A.A., Kaufman Y.J., Stark R., and Rundquist D. Novel algorithms for remote sensing estimation of vegetation fraction. Remote Sens. Environ. 80 (2002) 76-87
12. Goel N.S., and Quin W. Influences of canopy architecture on relationships between various vegetation indexes and LAI and FPAR: a computer simulation. Remote Sens. Environ. 10 (1994) 309-347
13. Hänninen H., Kellomäki K., Laitinen B., Pajari B., and Repo T. Effect of increased winter temperature on the onset of height growth of Scots pine: a field test of a phonological model. Silva Fennica 27 (1993) 251-257
14. Herrmann A., and Schachtel G.A. OSYAQ, an organ-specific growth model for forage grasses. Grass Forage Sci. 563 (2001) 268-284
15. Holben B.N. Characteristics of maximum value composite images for temporal AVHRR data. Int. J. Remote Sens. 7 (1986) 1417-1437
16. Huete A.R. A soil adjusted vegetation index SAVI. Remote Sens. Environ. 25 (1988) 295-309
17. Huete A.R., Didan K., Miura T., Rodriguez E.U., Gao X., and Ferreira L.G. Overview of radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83 (2002) 195-213
18. Jordan C.F. Derivation of leaf area index from quality of light on the forest floor. Ecology 50 (1969) 663-666
19. Kerboat L. A model for hydrological equilibrium of leaf area index on a global scale. J. Hydrol. 212/213 (1998) 268-286
20. Kramer K., Leinonen I., and Loustau D. The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: an overview. Int. J. Biometeorol. 442 (2000) 67-75
21. Kriegler F.J., Malila W.A., Nalepka R.F., and Richardson W. Preprocessing transformations and their effects on multispectral recognition. Proceedings of the 6th International Symposium on Remote Sensing of Environment. University of Michigan, Ann Arbor, MI (1969) 97-131
22. Launchbaugh K.L., Stuth J.W., and Holloway J.W. Influence of range site on diet selection and nutrient intake of cattle. J. Range Manage. 43 (1990) 109-116
23. Lodge G.M., Murphy R., and Harden S. Effects of grazing and management on herbage mass, persistence, animal production and soil water content of native pastures. 1. A red grass-wallaby grass pasture, Barraba, North West Slopes, New South Wales. Aust. J. Exp. Agric. 438 (2003) 875-890
24. McGuire A.D., Mellilo J.M., Kicklighter D.W., and Joyce L.A. Equilibrium responses of soil carbon to climate change: empirical and process-based estimates. J. Biogeogr. 224/225 (1995) 785-796
25. Mutanga O., and Skidmore A.K. Narrow band vegetation indices overcome the saturation problem in biomass estimation. Int. J. Remote Sens. 25 (2004) 3999-4014
26. Myneni R.B., Forrest G.H., Piers J.S., and Marshack A.L. The interpretation of spectral vegetation indices. Trans. Geosci. Remote Sens. 332 (1995) 468-481
27. Myneni R.B., Keeling C.D., Tucker C.J., Asrar A., and Nemani R.R. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386 (1997) 698-702
28. Potter C.S., Randerson J.T., Fiel C.B., Matson P.A., Vitousek P.M., Mooney H.A., and Klooster S.A. Terrestrial ecosystems production: a process model based on global satellite and surface data. Global Biogeochem. Cy. 7 (1993) 811-841
29. Prince S.D. A model of regional primary production for use with coarse resolution satellite data. Int. J. Remote Sens. 12 (1991) 1313-1330
30. Roujean J.L., and Beron F.M. Estimating PAR absorbed by vegetation and bidirectional reflectance measurements. Remote Sens. Environ. 51 (1995) 375-384
31. Rouse J.W., Hass R.H., Shell J.A., and Deering D.W. Monitoring vegetation systems in the great plains with ERTS-1. Proceedings 3rd Earth Resources Technology Satellite Symposium, vol. 1 (1974) 309-317
32. Ruimy A., Dedieu G., and Saugier B. TURC: a diagnostic model of continental gross primary productivity and net primary productivity. Global Biogeochem. Cy. 10 (1996) 269-286
33. Running S.W., and Hunt H.R. Generalisation of a forest ecosystems process model for other biomes, Biome-BGC, and an application for global-scale models. Scaling process between leaf and landscape levels. In: Ehleringer J.R., and Field C.B. (Eds). Scaling Physiological Process: Leaf to Globe (1993), Academic Press, San Diego 141-158
34. Stöckli R., and Vidale P.L. European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset. Int. J. Remote Sens. 2517 (2004) 3303-3330
35. Tappeiner U., and Cernusca A. Model simulation of spatial distribution of photosynthesis in structurally differing plant communities in the Central Caucasus. Ecol. Model. 113 (1998) 201-223
36. Teague W.R., and Foy J.K. Validation of SPUR2.4 rangeland simulation model using a cow-calf {latin small ligature fi}eld experiment. Agr. Syst. 74 (2002) 287-302
37. Tucker C. A spectral method for determining the percentage of green herbage material in clipped sample. Remote Sens. Environ. 9 (1980) 175-181
38. White M.A., Thornton P.E., and Running S.W. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochem. Cy. 11 2 (1997) 217-234
39. Zhang J., and Romo J.T. Defoliation of a northern wheatgrass community: above- and below-ground phytomass productivity. J. Range Manage. 47 (1994) 279-284